CN109740025A - Failure effect analysis (FEA) method based on diagram data model - Google Patents
Failure effect analysis (FEA) method based on diagram data model Download PDFInfo
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Abstract
The present invention discloses the failure effect analysis (FEA) method based on diagram data model comprising following steps: step 1, relational model of database structure figures data model: being transformed into diagram data model；Step 2, obtain coverage: when receiving network fault event or customer complaint event, the results list for meeting and influencing access search criterion is obtained from chart database, and polymerization calculating is carried out on the basis of inventory, and final result is stored in " coverage " data acquisition system；Step 3, based on " coverage " data acquisition system, output should the offer other application scene use of " coverage " data acquisition system.Relational model is converted to graph model by the present invention, search the time in online transaction using acceptable less than within the scope of 10 seconds, can be good at the production of adaptation business.
Description
Technical field
The present invention relates to telecommunication technology fields, more particularly to the failure effect analysis (FEA) method based on diagram data model.
Background technique
Existing network alarm impact analysis, is realized based on relevant database.When the carrying level of network is more, if
When standby large number of, incidence relation is imperfect, there is a problem of being associated with inefficiency, is associated with inaccuracy.It is real-time in network alarm
The problem of impact analysis scene, association low efficiency, is especially prominent.
Summary of the invention
The purpose of the present invention is to provide the failure effect analysis (FEA) methods based on diagram data model.
The technical solution adopted by the present invention is that:
Failure effect analysis (FEA) method based on diagram data model comprising following steps:
Step 1, relational model of database structure figures data model: is transformed into diagram data model；
Step 2, it obtains coverage: when receiving network fault event or customer complaint event, being obtained from chart database full
Foot influences the results list of access search criterion, and polymerization calculating is carried out on the basis of inventory, and final result is stored in
In " coverage " data acquisition system；
Step 3, based on " coverage " data acquisition system, output should " coverage " data acquisition system offer other application scene
It uses.
Further, relational model of database is transformed into diagram data model specific step is as follows in step 1:
Step 1.1, rotating ring equipment, the equipment in Internet resources, link, business, user in client traffic data, are converted to figure
Node in data model；
Step 1.2, the bearing relation between node and directed edge is converted into using relationship；
Step 1.3, network level locating for node stores together as the attribute of node.
Further, step 2, the lookup mode for obtaining the results list for meeting influence access search criterion is as follows:
Step 2.1, from the angle of network failure, it is all objects of " carrying " by MATCH method search relationship, as influences
Range；Or search specified attribute checks whether some network equipment is impacted to limit by setting；
Step 2.2, from service application or the angle of user, it is the object of " use " by MATCH method search relationship, takes wherein
The minimum network equipment of level, then to be affected by it.
The invention adopts the above technical scheme, by conversion function, by the equipment in rotating ring equipment, Internet resources, link,
Business, user in client traffic data, are converted to the node in diagram data model, and bearing relation and use between node
Relationship is converted into side, in chart database, and network level locating for node, it stores, realizes by closing together as the attribute of node
It is the conversion of database model to diagram data model.When receiving network fault event or customer complaint event, by " search,
Statistics, analysis " function, from the chart database based on diagram data model, access meets the results list of condition, and clear
Polymerization calculating is carried out on the basis of list, final result is stored in " coverage " data acquisition system.Finally with " coverage " number
Based on set, output should the offer other application scene use of " coverage " data acquisition system.When equipment fault or business are bad
When change, the side of figure through the invention is easy to search the origin of failure；When there is customer complaint, by using business or set
It is standby, it is easy to find out the complaint as caused by which (a little) problem.
Detailed description of the invention
The present invention is described in further details below in conjunction with the drawings and specific embodiments；
Fig. 1 is that the present invention is based on the process block schematic illustrations of the failure effect analysis (FEA) method of diagram data model；
Fig. 2 is graph data structure schematic diagram of the present invention.
Specific embodiment
As shown in the figures 1 and 2, the invention discloses the failure effect analysis (FEA) methods based on diagram data model comprising following
Step:
Step 1, relational model of database structure figures data model: is transformed into diagram data model；
Step 2, it obtains coverage: when receiving network fault event or customer complaint event, being obtained from chart database full
Foot influences the results list of access search criterion, and polymerization calculating is carried out on the basis of inventory, and final result is stored in
In " coverage " data acquisition system；
Step 3, based on " coverage " data acquisition system, output should " coverage " data acquisition system offer other application scene
It uses.
Further, relational model of database is transformed into diagram data model specific step is as follows in step 1:
Step 1.1, rotating ring equipment, the equipment in Internet resources, link, business, user in client traffic data, are converted to figure
Node in data model；
Step 1.2, the bearing relation between node and directed edge is converted into using relationship；
Step 1.3, network level locating for node stores together as the attribute of node.
Further, step 2, the lookup mode for obtaining the results list for meeting influence access search criterion is as follows:
Step 2.1, from the angle of network failure, it is all objects of " carrying " by MATCH method search relationship, as influences
Range；Or search specified attribute checks whether some network equipment is impacted to limit by setting；
Step 2.2, from service application or the angle of user, it is the object of " use " by MATCH method search relationship, takes wherein
The minimum network equipment of level, then to be affected by it.
The invention adopts the above technical scheme, by conversion function, by the equipment in rotating ring equipment, Internet resources, link,
Business, user in client traffic data, are converted to the node in diagram data model, and bearing relation and use between node
Relationship is converted into side, in chart database, and network level locating for node, it stores, realizes by closing together as the attribute of node
It is the conversion of database model to diagram data model.When receiving network fault event or customer complaint event, by " search,
Statistics, analysis " function, from the chart database based on diagram data model, access meets the results list of condition, and clear
Polymerization calculating is carried out on the basis of list, final result is stored in " coverage " data acquisition system.Finally with " coverage " number
Based on set, output should the offer other application scene use of " coverage " data acquisition system.When equipment fault or business are bad
When change, the side of figure through the invention is easy to search the origin of failure；When there is customer complaint, by using business or set
It is standby, it is easy to find out the complaint as caused by which (a little) problem.
Relational model is converted to graph model by the present invention, makes full use of the advantage of graph model；In addition, network is themselves based on
Figure describes to be easier to understand.The present invention has higher execution efficiency closest to technology relative to existing, with relationship type number
When according to library being storage organization, when be associated with level it is more when, searching the time by geometric progression increases (as unit of minute), and adopts
To the diagram data based on diagram data model, searches the time and is applied in online transaction in acceptable range (less than 10 seconds),
It can be good at the production of adaptation business.
Claims (3)
1. the failure effect analysis (FEA) method based on diagram data model, it is characterised in that: itself the following steps are included:
Step 1, relational model of database structure figures data model: is transformed into diagram data model；
Step 2, it obtains coverage: when receiving network fault event or customer complaint event, being obtained from chart database full
Foot influences the results list of access search criterion, and polymerization calculating is carried out on the basis of inventory, and final result is stored in
In " coverage " data acquisition system；
Step 3, based on " coverage " data acquisition system, output should " coverage " data acquisition system offer other application scene
It uses.
2. the failure effect analysis (FEA) method according to claim 1 based on diagram data model, it is characterised in that: in step 1
Relational model of database is transformed into diagram data model, and specific step is as follows:
Step 1.1, rotating ring equipment, the equipment in Internet resources, link, business, user in client traffic data, are converted to figure
Node in data model；
Step 1.2, the bearing relation between node and directed edge is converted into using relationship；
Step 1.3, network level locating for node stores together as the attribute of node.
3. the failure effect analysis (FEA) method according to claim 1 based on diagram data model, it is characterised in that: step 2, obtain
Take the lookup mode for meeting the results list for influencing access search criterion as follows:
Step 2.1, from the angle of network failure, it is all objects of " carrying " by MATCH method search relationship, as influences
Range；Or search specified attribute checks whether some network equipment is impacted to limit by setting；
Step 2.2, from service application or the angle of user, it is the object of " use " by MATCH method search relationship, takes wherein
The minimum network equipment of level, then to be affected by it.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110390027A (en) * | 2019-06-13 | 2019-10-29 | 全球能源互联网研究院有限公司 | A kind of information system fault model construction method and system based on chart database |
| WO2021114613A1 (en) * | 2020-06-09 | 2021-06-17 | 平安科技（深圳）有限公司 | Artificial intelligence-based fault node identification method, device, apparatus, and medium |
| CN113315657A (en) * | 2021-05-26 | 2021-08-27 | 中国电信集团系统集成有限责任公司 | Telecommunication transmission network customer influence analysis method and system based on parallel search set |
| CN114422338A (en) * | 2022-03-29 | 2022-04-29 | 浙江网商银行股份有限公司 | Fault influence analysis method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110390027A (en) * | 2019-06-13 | 2019-10-29 | 全球能源互联网研究院有限公司 | A kind of information system fault model construction method and system based on chart database |
| WO2021114613A1 (en) * | 2020-06-09 | 2021-06-17 | 平安科技（深圳）有限公司 | Artificial intelligence-based fault node identification method, device, apparatus, and medium |
| CN113315657A (en) * | 2021-05-26 | 2021-08-27 | 中国电信集团系统集成有限责任公司 | Telecommunication transmission network customer influence analysis method and system based on parallel search set |
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| CN114422338A (en) * | 2022-03-29 | 2022-04-29 | 浙江网商银行股份有限公司 | Fault influence analysis method and device |
| CN114422338B (en) * | 2022-03-29 | 2022-08-26 | 浙江网商银行股份有限公司 | Fault influence analysis method and device |
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Application publication date: 20190510 |